title: Automatic detection of the wake and stage 1 sleep stages using the EEG sub-epoch approach.
abstract: Studies by Rechtschaffen and Kales (R&K), rely on 30-sec epochs to score sleep stages. In this paper, we introduce a new approach based on three consecutive and non-consecutive 6-sec sub-epochs for the detection of the wake stage and stage 1 sleep. The Relative Spectral Energy Band (RSEB) is used as a feature extraction from the electroencephalographic (EEG) signal. Spectral estimation is performed using non-parametric and parametric methods. We then compared the performance of the conventional 30-sec epochs with the three consecutive and non-consecutive 6-sec epochs. The outcomes of this study showed that while the accuracy varies between subjects, the non-parametric method proved to be more effective with stage 1 sleep detection and the parametric method was more effective for wake stage detection. The non-consecutive sub-epoch method was more effective and consecutive method was least effective in non-parametric stage 1 detection. Alternatively, the 30-second epoch method was most effective for parametric wake stage detection.
authors.forename: Emad
authors.initials: E
authors.lastname: Malaekah
authors.forename: Dean
authors.initials: D
authors.lastname: Cvetkovic
mesh_terms: D000328:Adult; D000465:Algorithms; D004569:Electroencephalography; D064368:Healthy Volunteers; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated; D017286:Polysomnography; D012815:Signal Processing, Computer-Assisted; D012890:Sleep; D012894:Sleep Stages; D012984:Software; D055815:Young Adult